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Safety Science

ISSN: 0925-7535

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Datasets associated with articles published in Safety Science

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1970
2024
1970 2024
12 results
  • Data for: BIM-based Intrusion Detection System using Semantic Trajectories for Dynamic Environments
    Spatio-temporal data and an OSM file of a building.
    • Dataset
  • Data for: A bibliometric review of laboratory safety in universities
    Supplementary File with the list of the 219 publications
    • Dataset
  • Data for: Learning about risk: machine learning for risk assessment
    In order to avoid potential damage during drilling operations for a new offshore Oil&Gas well, a semi-submersible drilling unit should maintain the position above the wellhead. This is particularly critical if the platform is located in shallow waters, where small changes of position lead to higher riser (pipe connecting the platform to the subsea drilling system) angles. Exceeding physical inclination limits may result in damages to wellhead, Blowout Preventer (BOP – sealing the well) or Lower Marine Riser Package (LMRP – connecting riser and BOP). Platform positioning is maintained in an autonomous way through the action of a set of thrusters controlled by the Dynamic Positioning (DP) system. Platform position may be lost due to a series of reasons. In this case study, it is assumed that the platform thrusters exercise propulsion towards a wrong direction, leading to a scenario of "drive-off. If the rig moves to an offset position, specific alarms turn on and suggest the DPO to stop the drive-off scenario by deactivating the thrusters and initiating the manual Emergency Disconnect Sequence (EDS) for the disconnection of the riser from the BOP. If the manual EDS ultimately fails, the automatic EDS activates at the ultimate position limit allowing for safe disconnection. Matteini (2015) studied in detail occurrence and development of drive-off scenarios. Relevant indicators were defined to assess the performance of systems and safety barriers. Indicator trends were simulated for a period of 30 years. The database includes all the simulated indicator values transformed into their derivative with respect to time t as inputs xi to the machine learning model. Since the simulated wellhead damage frequency Freq is an expression of the scenario probability p, and, in turn, the risk R, for constant scenario s and consequence c, we can state that: dFreq/dt≈dR/dt After Freq is also transformed into its derivative with respect to time t, a label y indicating frequency/risk increase or decrease is added to the database. Two datasets created from the overall database can be also found: 1. Training dataset used to train the DNN model, with 2/3 of the xi and associated y values (160), and 2. Test dataset used to test the DNN model, with about 1/3 of the xi and associated y values (79).
    • Dataset
  • Data for: Safety assessment in megaprojects using artificial intelligence
    Construction accidents collected for megaprojects.
    • Dataset
  • Data for: Critical Causes Identification for Construction Accidents in China Based on System Thinking and Case Analysis
    We provided the information of the 571 construction accident cases. We didn't provide each of the accident reports, because they were expatiated in Chinese. We just provided the names (in Chinese), area distribution, types, and severity levels of them in Excel tables.
    • Dataset
  • Data for: Analysis of Critical Incidents in Tunnels to Improve Collective Activity and Learning from Experience
    table of tunnel patrollers critical incidents
    • Dataset
  • Data for: Households (un)willingness to perform private flood risk reduction - Results from a Swedish survey
    Regression output
    • Dataset
  • Data for: Safety culture among Chinese univeristiy students and an exploration on its group discrepancies
    Data from 362 valid questionnaires were included in this document.Undergraduate safety culture was demonstrated by mean scores of questionnaire items. A five-point Likert scale (1-Disagree, 2-Rarely agree, 3-Somewhat agree, 4-Moderately agree, 5-Totally agree) was used to quantify the measurement of each item.There were 29 items in the safety culture questionnaire. Among these 29 items, 16 items were related to undergraduates’ safety attitude and safety awareness(SA); other 13 items were related to undergraduates’ safety behavior(SB).
    • Dataset
  • Data for: Disaster Prevention through a harmonized Framework for High Reliability Organisations
    The questionnaire template is a copy of the questionnaire from which the online survey instrument was extracted. The questionnaire summary is a summary of all the responses obtained by this research.
    • Dataset
  • Data for: Challenging conventional rural rail level crossing design: Evaluating three new systems thinking-based designs in a driving simulator
    This document contains full details of data analyses for the paper: Beanland et al. (2018). Challenging conventional rural rail level crossing design: Evaluating three new systems thinking-based designs in a driving simulator. Safety Science.
    • Dataset
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